Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add mikeOnBreeze/cc-crossbeam --skill adu-corrections-flowgit clone --depth 1 https://github.com/mikeOnBreeze/cc-crossbeamWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mikeonbreeze/cc-crossbeam/adu-corrections-flow)<a href="https://agentmods.dev/skills/mikeonbreeze/cc-crossbeam/adu-corrections-flow"><img src="https://agentmods.dev/badge/skills/mikeonbreeze/cc-crossbeam/adu-corrections-flow/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mikeonbreeze/cc-crossbeam/adu-corrections-flow"><img src="https://agentmods.dev/badge/skills/mikeonbreeze/cc-crossbeam/adu-corrections-flow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00168 | $0.02913 |
| Opus 5 | $0.00084 | $0.01456 |
| Sonnet 5 | $0.00034 | $0.00583 |
| Haiku 4.5 | $0.00017 | $0.00291 |
Grade A, and why
adu-corrections-flow scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADU Corrections Flow
Overview
Analyze ADU permit corrections and generate informed contractor questions. This is the first skill in a two-skill pipeline:
adu-corrections-flow(this skill) — reads corrections, researches codes, categorizes items, generates questionsadu-corrections-complete(second skill) — takes contractor answers + these research artifacts, generates the final response package
This skill coordinates three sub-skills through a 4-phase workflow and stops after producing contractor_questions.json.
Sub-skills used:
| Skill | Role | When Used |
|---|---|---|
california-adu |
State-level building codes (CRC, CBC, CPC, etc.) | Phase 3A — offline, 28 reference files |
adu-city-research |
City municipal code, standard details, IBs | Phase 3B (Mode 1: Discovery) + Phase 3.5 (Mode 2: Extraction) + optional Mode 3 (Browser Fallback) |
adu-targeted-page-viewer |
Sheet manifest + on-demand plan viewing | Phase 2 + Phase 3C — PDF extraction + vision |
Key principle: Research happens before contractor questions. Questions informed by actual code requirements are specific and answerable in seconds. Vague questions waste the contractor's time.
Inputs
| Input | Format | Required |
|---|---|---|
| Corrections letter | PDF or PNG (1-3 pages) | Yes |
| Plan binder | PDF (the full construction plan set) | Yes |
| City name | String (extracted from letter if not provided) | Auto-detected |
| Project address | String (extracted from letter if not provided) | Auto-detected |
Outputs
All outputs are written to the session directory (e.g., correction-01/).
| Output | Format | Phase |
|---|---|---|
corrections_parsed.json |
Structured correction items | Phase 1 |
sheet-manifest.json |
Sheet ID ↔ page number mapping | Phase 2 |
state_law_findings.json |
Per-code-section lookups | Phase 3A |
city_discovery.json |
Key URLs for the city's ADU pages | Phase 3B |
sheet_observations.json |
What's on each referenced plan sheet | Phase 3C |
city_research_findings.json |
Municipal code, standard details, IBs (extracted content) | Phase 3.5 |
corrections_categorized.json |
Items with categories + research context (the main handoff artifact) | Phase 4 |
contractor_questions.json |
UI-ready question form data | Phase 4 |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 203 lines · 168 tokens per session scan A b1f353671610
adu-corrections-flow is a skill published in the GitHub repository mikeOnBreeze/cc-crossbeam (291 stars, last pushed 6mo ago), licensed MIT. It adds 168 tokens to every session and 2,913 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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